Autonomous AI Freight Platform Development

Job Title: Full-Stack / AI Engineer needed to build Autonomous AI Freight Platform (DirectFreight AI) Job Description: We are seeking an experienced Full-Stack / AI Engineer (or small development team) to build DirectFreight AI — an autonomous AI agent platform designed for the US heavy-trucking industry (Class 8 / Semi-trucks). The platform bypasses traditional freight brokers by connecting motor carriers directly with shippers using an end-to-end automated pipeline for load evaluation, dynamic pricing, OCR document processing, real-time GPS tracking, and driver dispatch via messaging APIs. Core Key Responsibilities: AI & Workflow Orchestration: Build autonomous AI agent workflows using Python (FastAPI, LangChain / LlamaIndex) or n8n integrated with LLM APIs (GPT-4o / Llama 3 via Ollama/vLLM). Document OCR Engine: Implement automated extraction and parsing for PDFs/images (Rate Confirmations, Bills of Lading, Proof of Delivery) into structured JSON schema using Vision LLMs or Document AI. Integrations: Connect with Telematics/ELD APIs (Samsara/Motive), messaging channels (Telegram Bot API / WhatsApp Business API), and freight data APIs (DAT RateView / Truckstop). Backend & Database: Design a production-ready PostgreSQL database architecture and RESTful/Webhook APIs. Human-in-the-Loop Gateway: Implement an admin interface allowing dispatchers to review/override AI decisions during the initial deployment phase. Required Skills & Qualifications: Strong experience in Python, Node.js, or n8n workflow development. Proven track record building and deploying LLM Agents, RAG pipelines, and OCR / Vision workflows. Deep expertise with RESTful APIs, Webhooks, and PostgreSQL. Experience with supply chain, freight/logistics, or telematics APIs (Samsara, Motive, EDI protocols) is a huge plus. Clean code principles, clear documentation, and strict security compliance (storing API keys securely, SOC2 compliance awareness).

How to Apply

If you are interested, please submit your proposal including: A brief summary of relevant AI agent, automation, or OCR projects you have built. Your feedback on the proposed tech stack (Python vs. n8n). Estimated timeline and ballpark quote for an MVP based on the attached technical brief. Detailed Software Requirements Specification (SRS) will be shared with shortlisted candidates.